Mahmud Farooque

The problem

Customers needed protection against buying digital resources they already owned, while physical products and gift cards remained repeatable purchases.

What I did

• Developed a small custom plugin that checks purchase history and product eligibility.
• Integrated enforcement across product pages, add-to-cart validation and checkout, including a custom cart interface.
• Verified the product classification in detection mode before enabling enforcement, with a simple reversal path.

AI involvement

AI-assisted inspection, code preparation and test design, checked against recorded product classifications and execution results.

The problem

An intermittent security-validation failure prevented customers from retrying checkout after another validation error.

What I did

• Compared browser behaviour, verification responses and event timing to separate supported causes from disproved theories.
• Added a checkout-error handler to reset the security widget for a fresh attempt.
• Added restricted diagnostic events with nonce validation, allowlisted values and rate limits, without logging customer details or security tokens.

AI involvement

Used AI-assisted hypothesis review and patch preparation; source logs record corrections to early assumptions before the final handover.

The problem

Product codes silently reverted because each desired code was already assigned to another variation.

What I did

• Traced the issue to a circular uniqueness conflict rather than an admin-interface fault.
• Used a temporary value and an ordered update sequence through the platform’s supported data layer.
• Read back the corrected values, checked the lookup table and confirmed unrelated product fields were preserved.

AI involvement

AI-assisted diagnosis and update planning, with before/after data checks and a documented rollback sequence.

The problem

A store returned no suitable carrier options for some customer locations because of an integration configuration mismatch.

What I did

• Traced the path from cart contents and destination through shipping zones and carrier filtering.
• Prepared a narrow configuration change that preserved the integration’s existing storage format.
• Verified returned rates for representative destinations and documented an exact reversal.

AI involvement

AI-assisted comparison of cart scenarios and configuration state; results were checked against recorded rate responses.

The problem

A mixed-product cart attracted duplicate shipping charges and failed to apply the intended free-shipping rule.

What I did

• Identified a product assigned to a different shipping profile from the rest of the catalogue.
• Aligned the affected products and variants with the intended profile.
• Checked mixed-product carts and the free-shipping threshold, then followed up on overlapping paid and free rate conditions.

AI involvement

This example demonstrates hands-on store configuration and checkout QA. AI assistance is not attributed in the available task record.

The problem

An existing installer workflow needed editable profile fields and consistent information across generated documents.

What I did

• Extended the form and profile-field handling within the existing plugin.
• Updated document generation to carry the approved field values and wording.
• Performed a controlled submission and checked the saved data and generated documents; recorded cleanup and rollback steps.

AI involvement

AI-assisted implementation and verification preparation, checked through file comparisons and a recorded form-to-PDF test.

The problem

A content-rich storefront loaded scripts, styles and embedded media that were not needed for the initial page experience.

What I did

• Identified unused homepage assets and limited their loading without changing other page types.
• Moved below-the-fold media loading to user interaction rather than an automatic post-load timer.
• Compared requests, critical chains and repeated lab runs, while checking visible content and console behaviour.

AI involvement

AI-assisted asset investigation and code changes; repeat measurements helped separate observed changes from single-run lab variation.

The problem

A working store needed reliable measurement of product views, cart activity, checkout and purchases.

What I did

• Investigated the event path through the website, tag configuration and analytics reports.
• Repaired the tracking configuration and verified commerce events in the reporting data.
• Removed obsolete tracking configuration as a separate cleanup step, retaining the recorded previous values.

AI involvement

AI-assisted investigation and report analysis, cross-checked against recorded API results and the tag publication history.

The problem

An inherited application needed a reliable reproduction environment and a clear distinction between defects, configuration issues and requested changes.

What I did

• Reconstructed a local staging environment from an existing backup and mapped the inherited application.
• Prepared defensive handling for missing tenant-site data and unexpected integration responses across models, controller logic and Blade views.
• Tested failing, healthy and unauthorised-access scenarios locally, then separated the completed local fixes from the pending deployment decision.

AI involvement

AI-assisted code navigation, environment reconstruction and scope preparation, with implementation claims limited to what the records show.

The problem

I needed one platform for photography, technical writing and a professional profile, with manageable storage and deployment.

What I did

• Developed a Laravel, Inertia and Vue application with a publishing dashboard and a media-processing pipeline.
• Integrated EXIF and GPS handling, derivative images, watermark options and S3-compatible original storage.
• Maintained deployment scripts, tests, analytics reporting and infrastructure documentation.

AI involvement

AI-assisted development, troubleshooting and documentation, with automated checks and browser review of changes.